You are here: Home » Content

Browse by Author: Robert Morrison

View author profile
Return to Browsing Content | Search for Content
Sort by: Results per page:
View: Detail | Compact | Statistics
Digital Signal Processing Laboratory (ECE 420 55x) (col10397)
Institution: University of Illinois at Urbana-Champaign
Summary: Development of real-time digital signal processing (DSP) systems using a DSP microprocessor; several structured laboratory exercises, such as sampling and digital filtering, followed by an extensive DSP project of the student's choice.
Subject: Science and Technology
Language: English
Popularity: 95.71%
Revised: 2010-01-18
Revisions: 10
Digital Signal Processing Laboratory (ECE 420) (col10236)
Institution: University of Illinois at Urbana-Champaign
Summary: Development of real-time digital signal processing (DSP) systems using a DSP microprocessor; several structured laboratory exercises, such as sampling and digital filtering, followed by an extensive DSP project of the student's choice.
Subject: Science and Technology
Language: English
Popularity: 96.69%
Revised: 2006-09-27
Revisions: 14
Lab 2: Multirate Filtering (m45710)
Author: David Jun
Keywords: banz, decimation, down-sample, DSP, interpolation, multirate sampling, multirate system, sample-rate compressor, sample-rate expander, up-sample
Summary: You will implement a multirate system that includes three fininte impulse response filters.
Subject: Science and Technology
Language: English
Popularity: 84.84%
Revised: 2013-01-28
Revisions: 2
Multirate Filtering: Implementation on TI TMS320C55x (m13792)
Author: Thomas Shen
Keywords: banz, decimation, down-sample, DSP, interpolation, multirate sampling, multirate system, sample-rate compressor, sample-rate expander, up-sample
Summary: You will implement a multirate system that includes three fininte impulse response filters.
Subject: Science and Technology
Language: English
Popularity: 61.95%
Revised: 2007-01-29
Revisions: 4
Spectrum Analyzer: Optimization Exercise (m12392)
Keywords: assembly, autocorrelation, C, digital signal processing, IIR filter, optimization, power spectral density, processor, PSD, pseudo-noise
Summary: Students are to implement and optimize a power spectral density estimator, a pseudo-noise (PN) sequence generator, and an IIR filter.
Subject: Science and Technology
Language: English
Popularity: 71.91%
Revised: 2004-09-22
Revisions: New
Spectrum Analyzer: Optimization Exercise (55x) (m13805)
Author: Thomas Shen
Keywords: assembly, autocorrelation, C, digital signal processing, IIR filter, optimization, power spectral density, processor, PSD, pseudo-noise
Summary: Students are to implement and optimize a power spectral density estimator, a pseudo-noise (PN) sequence generator, and an IIR filter.
Subject: Science and Technology
Language: English
Popularity: 67.22%
Revised: 2007-03-26
Revisions: 3
Popularity is measured as percentile rank of page views/day over all time
My Account
Repository
Total Collections: 1326
Total Modules: 22025